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.github 040000
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data 040000
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vignettes 040000
.gitignore 100644 0 kb
DESCRIPTION 100644 2 kb
NAMESPACE 100644 7 kb
NEWS.md 100644 0 kb
README.md 100644 2 kb
README.md
<!-- badges: start --> [![Project Status: Active – The project has reached a stable, usable state and is being actively developed.](https://www.repostatus.org/badges/latest/active.svg)](https://www.repostatus.org/#active) [![R-CMD-check-bioc](https://github.com/prostarProteomics/omXplore/workflows/R-CMD-check-bioc/badge.svg)](https://github.com/prostarProteomics/omXplore/actions?query=workflow%3AR-CMD-check-bioc) [![codecov.io](https://codecov.io/github/prostarProteomics/omXplore/coverage.svg?branch=main)](https://codecov.io/github/prostarProteomics/omXplore?branch=main) [![license](https://img.shields.io/badge/license-Artistic--2.0-brightgreen.svg)](https://opensource.org/licenses/Artistic-2.0) <!-- badges: end --> ### What is omXplore? `omXplore` is a [Bioconductor package](http://bioconductor.org/packages/omXplore) that provides functions for the visualization and the statistical analysis of proteomics data. It can deal with common Bioconductor formats suwh as as Msnset, `QFeatures`, `MultiAssayExperiment`. It is also possible to write your own plot modules so as to embed it into the GUI of `omXplore`. > Evolving the `DAPAR` package plots towards Shiny modules. ### Getting started See the [omXplore introduction](https://prostarproteomics.github.io/omXplore/articles/omXplore.html) to get started with the visualization of data. ### License The `omXplore` code is provided under a permissive [Artistic 2.0 license](https://opensource.org/licenses/Artistic-2.0). The documentation, including the manual pages and the vignettes, are distributed under a [CC BY-SA license](https://creativecommons.org/licenses/by-sa/4.0/). # Installation To install this package, start R (version "4.3") and enter: ``` if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("omXplore") ``` This will also install dependencies. It is also possible to install `omXplore` from Github: ``` library(devtools) install_github('prostarproteomics/omXplore') ``` For older versions of R, please refer to the appropriate Bioconductor release.